Zenkat – a CLI tool to manage Markdown notes

Hacker News

I'm a consummate note-taker and have used tools like Evernote, Obsidian, Notion for years. However, I recently begun moving towards a command line workflow using helix etc for my coding, and wanted to port my notes over to this workflow. zenkat is a project that aims to give back some of the 'superpowers' that note-taking apps give you, like tags, knowledge graphs, and so on, while being FOSS (GPLv3). Super happy to hear your feedback as it helps me improve the project, or to take pull requests.

Visit product View on Hacker NewsOct 16, 2023

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Product HuntOn track for Day 1 leaderboard · Strong signals: apps, using, notes · Missing: mac, agents, macos

91%91% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

Hacker NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released

53%53% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting

48%48% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Strong signals: apps · Missing: mobile apps, ios, personal

46%46% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive

24%24% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

11%11% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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